Assortment and Merchandising

Assortment and Merchandising

Some of the most crucial decisions in retail revolve around the assortment of merchandise in the store. There are a number of decisions that have a significant bottomline impact that analytics can aid. Some of these include:

Merchandising decision support

What is the correct width and depth in each store?

Can I cluster stores and change the assortment in them based on what is likely to work best?

What products can I remove from the racks such that there is a high likelihood of demand transference to other products?

How can I manage in-season markdowns?

How can I get early warnings on stock that is unlikely to sell before it goes into deep discounting?

Which products can I remove from my racks with minimal impact on sales?

Layering customer insight onto merchandising decisions

In addition to taking a product and store centric view to these decisions we also bring in a layer of customer insight to help the decision process:

What are my best customers buying, what is different about their selections as compared to the universe?

Which stores seem to have early adopters coming to them, and I can hence prioritise new launches with them?

Where am I more likely to see discount seekers and can hence push for liquidation of a product entering EOL?